Sapna Negi

Title: Innovations by Sapna Negi

Introduction

Sapna Negi is an accomplished inventor based in Galway, Ireland. She has made significant contributions to the field of customer journey analytics through her innovative patent. Her work focuses on utilizing advanced machine learning techniques to enhance customer experience and predict outcomes effectively.

Latest Patents

Sapna Negi holds a patent titled "System and method for customer journey event representation learning and outcome prediction using neural sequence models." This patent presents a system and method for customer journey event representation learning and outcome prediction using neural sequence models. A plurality of events are input into a module where each event has a schema comprising characteristics of the events and their modalities, such as web clicks, calls, emails, and chats. The events of different modalities can be captured using different schemas, making the embodiments described schema-agnostic. Each event is represented as a vector of some number of numbers by the module, generating a plurality of vectors for each customer visit. These vectors are then utilized in sequence learning to predict real-time next best actions or outcome probabilities in a customer journey using machine learning algorithms, including recurrent neural networks.

Career Highlights

Throughout her career, Sapna has demonstrated a strong commitment to innovation and excellence. Her work has not only advanced the understanding of customer interactions but has also provided practical solutions for businesses seeking to improve their customer engagement strategies.

Collaborations

Sapna has collaborated with notable professionals in her field, including Maciej Dabrowski and Aravind Ganapathiraju. These collaborations have further enriched her research and development efforts, leading to impactful innovations.

Conclusion

Sapna Negi is a pioneering inventor whose work in customer journey analytics is shaping the future of customer experience. Her innovative patent showcases her expertise in machine learning and her dedication to improving business outcomes.